Staff Engineer, Data & Analytics

CHEMNITZ ZIEHT AN - Das Jobportal von hier.; Chemnitz; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive Compensation

31 vacation days

Hybrid work model

Company pension scheme

Volunteer Day

Zusammenfassung

CHEMNITZ ZIEHT AN - Das Jobportal von hier. is seeking a Staff Engineer for its Data & Analytics team in Chemnitz, Germany. In this hybrid role, you will drive technical direction, mentor engineers, and advance data infrastructure for AI-powered product features.

The ideal candidate has proven experience at the Staff Engineer level, strong architectural understanding of data platforms, and excellent stakeholder management skills. A competitive compensation package with 31 vacation days and flexible working time models is offered.

Qualifikationen

• Proven experience at Staff Engineer level in a data engineering context.
• Strong architectural understanding of data platforms, data governance, and orchestration.
• Solid data modeling skills.

Aufgaben

• Drive the technical direction of the data platform and lead architecture decisions.
• Support and develop a team of 4-5 engineers.
• Own and evolve the data infrastructure and data governance.

Kenntnisse

Data platform architecture

Stakeholder management

Data modeling

Python

Streaming technologies

Ausbildung

Experience as Staff Engineer or equivalent

Tools

Kafka

Data lake technologies

Jobbeschreibung

About Staffbase

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees. Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis St. Paul, our diverse team of 750+ employees supports 2,000+ customers reaching over 16.4 million employees in transforming their employee experience. We are proud to be a Unicorn company privately valued at over $1 billion demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.

As a Staff Engineer in our Data & Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands‑on technical leadership with people leadership. You will work closely with the Director of Engineering and cross‑functional stakeholders to advance our data infrastructure and lay the foundations for AI‑powered product features.

Our environment

• Work alongside skilled, data‑passionate engineers in a team that values collaboration
• A flexible, agile environment with a strong focus on work‑life balance
• You will have real ownership and influence over data architecture
• We are building toward a distributed, self‑service data platform model – you will help shape how that evolves.
• Data is a strategic asset at Staffbase: valued, actively growing, and directly enabling our AI product roadmap.

What You'll Be Doing

• Drive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders
• Support and develop a team of 4‑5 engineers: providing technical mentorship, unblocking delivery, and helping build a product‑mindful engineering culture.
• Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance – building a solid base for AI and analytics features
• Lead streaming adoption across the team, bringing hands‑on expertise to an area the team is actively developing
• Apply and advance strong data modeling practices across the platform.
• Prioritize and mediate effectively with product stakeholders – advocating for the right technical decisions and sequencing of work
• Contribute to the evolution of our self‑service data platform approach, driving the cultural and technical shift toward distributed data ownership
• Collaborate across the broader staff engineering community on cross‑cutting architectural decisions

What You Need To Be Successful

• Proven experience at Staff Engineer level or equivalent in a data engineering context
• Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.
• Experience with streaming technologies (e.g. Kafka) – hands‑on exposure is a strong plus
• Solid data modeling skills and the ability to raise this as a team‑wide standard.
• Experience working with large‑scale datasets commensurate with a sizeable B2B SaaS customer base.
• Python proficiency and comfortable working across a modern data stack
• Strong stakeholder management and communication skills – you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams
• A product‑mindful engineering mindset: able to balance technical rigour with pragmatic prioritization.
• Leadership experience or ambition: you are comfortable guiding engineers and driving delivery

Nice to have

• Experience with data governance for AI agents – understanding guardrails, access control, and safety considerations for agentic analytics.
• Prior exposure to self‑service data platform models and distributed data ownership strategies.
• Experience in a product‑led SaaS environment.

What You'll Get

• Competitive Compensation – we offer attractive salary packages including LTIP (unit‑based Long Term Incentive Plan)
• Flexibility – we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge – with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support – we offer a company pension scheme
• Volunteer Day – you’ll get one day off per year for supporting a social project